With the rise of exascale systems and large, data‐centric workflows, the need to observe
and analyze high performance computing (HPC) applications during their execution is …

In situ analysis and visualization have grown increasingly popular for enabling direct access
to data from high-performance computing (HPC) simulations. As a simulation progresses …

Recent years have seen many successful applications of machine learning (ML) to facilitate
fluid dynamic computations. As simulations grow, generating new training datasets for …

With the rise of exascale systems and large, datacentric workflows, the need to observe and
analyze high performance computing (HPC) applications during their execution is becoming …

Heterogeneous workflows represent a promising approach for overcoming traditional
application performance limitations and to accelerate scientific insight on high-performance …

In this article, we present a novel approach to bring in transit capabilities to numerical
simulations which are already able to do in situ analysis with Catalyst 2. This approach …

High-performance computing (HPC) applications and workflows are increasingly making
use of custom data services to complement traditional parallel file systems with fast transient …

High performance computing has played a pivotal and ongoing role in the field of
computational fluid dynamics, enabling the simulation of increasingly larger-scale models …

Heterogeneous workflows represent a promising approach for overcoming traditional
application performance limitations and to accelerate scientific insight on high-performance …

Abstract In-situ, in-transit, and hybrid approaches have become well-established
visualization methods over the last decades. Especially for large simulations, these …